*IEM-UEM* in Association with *_SMART Society, USA_* invites all Alumni, Students, Faculty and Staff to register for and attend IEM/UEM *FOREIGN DISTINGUISHED LECTURE*.
**Speaker* : Prof. Raymond Ng, *The University of British Columbia*, Canada
*Topic:* Sensor Stream Analytics and Outlier Detection
*Date*: 24 th August, 2020
*Time*: 7:00 PM (IST)
*Link* : https://attendee.gotowebinar.com/register/5144860506606839824
**Short* Bio* of Speaker:* Professor Raymond is a professor of Computer Science at the University of British Columbia. He is the Director of the Data Science Institute. He is also the part-time Chief Informatics Officer of the PROOF Centre of Excellence for the Prevention of organ failures . The latter is based at St Paul’s Hospital. Since 2016, he has been the holder of the Canadian Research Chair on Data Science and Analytics.
His research areas are data mining, text mining, health informatics, sensor analytics and data bases. As outlined in the research project section of this site, he has been focusing on genomics data and text data over the past ten years. On the genomics side, with the PROOF Centre team, his work focuses on the development of biomarker panels for various conditions related to organ failures in hearts, lungs or kidneys. On the text side, his work with the Natural Language Processing Lab focuses on conversations, such as emails, blogs and meetings. The objective is to create meta data, such as natural language summaries, to facitate access to the otherwise unstructured raw data.
He joined UBC as an assistant professor in . UBC is his alma mater, as he obtained the BSc. (Hons.) degree in Computer Science . He continued his studies at the University of Waterloo, where he got the M.Math. degree in Computer Science in 1988. Then he went to the University of Maryland, College Park to pursue my doctoral studies, and graduated with the PhD degree in Computer Science in 1992.
*Note* : After registering, you will receive a confirmation email containing information about joining the webinar. *All participants will receive a participation certificate after the webinar.*
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